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Updated Large-scale multi-label text classification example for Keras v3 #1779

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Updated Large-scale multi-label text classification example for Keras v3 #1779

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7 changes: 4 additions & 3 deletions examples/nlp/multi_label_classification.py
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Expand Up @@ -30,8 +30,9 @@
## Imports
"""

from tensorflow.keras import layers
from tensorflow import keras
import keras
from keras import layers

import tensorflow as tf

from sklearn.model_selection import train_test_split
Expand Down Expand Up @@ -145,7 +146,7 @@
"""

terms = tf.ragged.constant(train_df["terms"].values)
lookup = tf.keras.layers.StringLookup(output_mode="multi_hot")
lookup = layers.StringLookup(output_mode="multi_hot")
lookup.adapt(terms)
vocab = lookup.get_vocabulary()

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